The Role
Supports AWS-based manufacturing data ingestion into enterprise data lakes and analytics platforms. Maintains ingestion frameworks, mappings, metadata, pipelines, and integrations with SharePoint, OneDrive, SFTP, LIMS, and manufacturing systems. Performs data validation, quality checks, troubleshooting, and pipeline optimization. Assists with document processing automation, data extraction, technical documentation, SOPs, and knowledge transfer. Requires Python, SQL, Databricks, AWS services, ETL development, and cloud data integration experience.
Summary Generated by Built In
Associate Data Engineer
Primary Skills
- Athena, SNS, SQS, CloudWatch, Kinesis, Redshift
Specialization
- AWS Data EngineerIng Advanced: Associate Data Engineer
Job requirements
- Experience Range: Entry-level role with at least 0 to 2 years of hands-on experience in AWS data engineering, ideally including exposure to manufacturing or life sciences data environments. Key Responsibilities: 1. Manage manufacturing data ingestion into enterprise data lake and analytics platforms using AWS services. 2. Configure and maintain data ingestion frameworks, mappings, and metadata definitions. 3. Perform data validation, quality checks, and troubleshoot issues in production data pipelines. 4. Integrate data from sources such as SharePoint, OneDrive, SFTP, LIMS, and manufacturing systems. 5. Assist in developing automation solutions for document processing and data extraction with AWS tools. 6. Support analytics platforms by enabling efficient data access and pipeline performance. 7. Create and maintain technical documentation, SOPs, and knowledge-transfer materials. Required Skills: 1. Python 2. SQL 3. Databricks 4. AWS S3 5. AWS Lambda 6. Data engineering and ETL pipeline development 7. Data quality and validation 8. Data integration in cloud environments Preferred Skills: 1. AWS Textract or OCR technologies 2. Experience with Life Sciences or Pharmaceutical domain data 3. Familiarity with LIMS and Manufacturing Execution Systems (MES/EMES) 4. Experience in enterprise data lake environments Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field 2. Completion of relevant AWS or Databricks training courses (certification preferred but not required) Additional Information: Project tenure is 1 year with potential extension.
Skills Required
- 0 to 2 years of hands-on experience in AWS data engineering
- Python
- SQL
- Databricks
- AWS S3
- AWS Lambda
- Data engineering and ETL pipeline development
- Data quality and validation
- Data integration in cloud environments
- AWS Textract or OCR technologies
- Experience with Life Sciences or Pharmaceutical domain data
- Familiarity with LIMS and Manufacturing Execution Systems (MES/EMES)
- Experience in enterprise data lake environments
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field
- Completion of relevant AWS or Databricks training courses
- AWS or Databricks certification
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
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The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
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